Evidence map›Paper›PMID 35666863›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Insights into bear evolution from a Pleistocene polar bear genome.

Tianying Lan, Kalle Leppälä, Crystal Tomlin, Sandra L Talbot, George K Sage, Sean D Farley, Richard T Shideler, Lutz Bachmann, Øystein Wiig, Victor A Albert and 6 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Tianying LanDepartment of Biological Sciences, University at Buffalo, Buffalo, NY 14260.
Kalle LeppäläDepartment of Mathematical Sciences, University of Oulu, 90014 Oulu, Finland.
Crystal TomlinDepartment of Biological Sciences, University at Buffalo, Buffalo, NY 14260.
Sandra L TalbotFar Northwestern Institute of Art and Science, Anchorage, AK 99501.
George K SageFar Northwestern Institute of Art and Science, Anchorage, AK 99501.
Sean D FarleyAlaska Department of Fish and Game, Anchorage, AK 99518.
Richard T ShidelerAlaska Department of Fish and Game, Fairbanks, AK 99701.
Lutz BachmannNatural History Museum, University of Oslo, 0318 Oslo, Norway.
Øystein WiigNatural History Museum, University of Oslo, 0318 Oslo, Norway.
Victor A AlbertDepartment of Biological Sciences, University at Buffalo, Buffalo, NY 14260.
Jarkko SalojärviSchool of Biological Sciences, Nanyang Technological University, Singapore 637551.
Thomas MailundBioinformatics Research Centre, Aarhus University, 8000 Aarhus, Denmark.
Daniela I Drautz-MosesSingapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore 637551.
Stephan C SchusterSingapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore 637551.ORCID 0000-0001-9082-7527
Luis Herrera-EstrellaLaboratorio Nacional de Genómica para la Biodiversidad/Unidad de Genómica Avanzada, Centro de Investigación y Estudios Avanzados del Instituto Politecnico Nacional, 36500 Irapuato, México.ORCID 0000-0001-7936-3856
Charlotte LindqvistDepartment of Biological Sciences, University at Buffalo, Buffalo, NY 14260.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The polar bear (Ursus maritimus) has become a symbol of the threat to biodiversity from climate change. Understanding polar bear evolutionary history may provide insights into apex carnivore responses and prospects during periods of extreme environmental perturbations. In recent years, genomic studies have examined bear speciation and population history, including evidence for ancient admixture between polar bears and brown bears (Ursus arctos). Here, we extend our earlier studies of a 130,000- to 115,000-y-old polar bear from the Svalbard Archipelago using a 10× coverage genome sequence and 10 new genomes of polar and brown bears from contemporary zones of overlap in northern Alaska. We demonstrate a dramatic decline in effective population size for this ancient polar bear’s lineage, followed by a modest increase just before its demise. A slightly higher genetic diversity in the ancient polar bear suggests a severe genetic erosion over a prolonged bottleneck in modern polar bears. Statistical fitting of data to alternative admixture graph scenarios favors at least one ancient introgression event from brown bears into the ancestor of polar bears, possibly dating back over 150,000 y. Gene flow was likely bidirectional, but allelic transfer from brown into polar bear is the strongest detected signal, which contrasts with other published work. These findings may have implications for our understanding of climate change impacts: Polar bears, a specialist Arctic lineage, may not only have undergone severe genetic bottlenecks but also been the recipient of generalist, boreal genetic variants from brown bears during critical phases of Northern Hemisphere glacial oscillations.

Indexed as

Biological EvolutionHybridization, GeneticUrsidaeAnimalsGene FlowGenomePhylogenybear evolutionclimate changecomparative genomicshybridizationUrsus

Identifiers

PMID35666863
PMCPMC9214488

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.